What are leading experts in artificial intelligence saying about this technology? Get new insights that will help solidify your approach to AI strategy and more!
While the ongoing COVID-19 pandemic has struck a harsh blow for many industries, it has also revealed many issues that can be solved by applying artificial intelligence (AI). From diversifying online shopping and dining options to making customer call centers more efficient – and even assisting with speeding up the development of new drugs – AI technologies are becoming more commonplace in industries like financial services, education, and more.
According to Gartner’s most recent CIO survey, about 14 percent of CIOs report that they have already deployed AI solutions while 23 percent report that they will be doing so in the next twelve months.
No matter where you are on your AI journey, it never hurts to check in with what industry experts are saying. Read on for our round up of 10 quotes that will help guide your AI journey!
AI Advice to Executives
On Overcoming Resistance to AI Initiatives
1. Rajat Monga, Engineering Director of TensorFlow at Google
“I see AI as a tool that should be in every CEO’s tool belt, in every executive’s tool belt. While it’s a tool that’s going to be in everybody’s tool belt, it’s a very, very powerful tool. Just like the Internet changed things in the last two decades, similarly, AI is going to be that big thing that’s going to change a lot of things over the next couple of decades. It’s going to be important to think about that as a key ingredient to whatever you build, whomever you serve, and however you manage and help your customers.”
2. Mohak Shah, Lead Expert in Data Science at the Bosch Research and Technology Center, North America
“Look into how the people-change will happen. I think the biggest challenge is not really technology—it is people. I think the biggest gap that we currently need to address is the people who can connect the dots between technology and business impact. That’s where I think we are really missing the boat. We need people who can look at a business problem, and have a technological solution, and essentially can see how the solution can be brought to value.”
On Implementing AI
3. Moutusi Sau, Principal Research Analyst at Gartner
“An adaptive approach is required … Don’t be afraid to be upfront about expected costs and set expectations that they might change significantly as the solution scope is explored and refined. By the same token, there also needs to be readiness to close down experimental AI projects where no clear benefit is emerging from the early stages.”
4. Li Deng, Chief AI Officer at Citadel
“I think everybody should embrace these modern AI capabilities. On the other hand, they also have to think about business-specific problems. Not every single tool that people in the AI community develop can suit them correctly.”
5. Abhishek Gupta, Founder of the Montreal AI Ethics Institute
“For those who are just getting started in an AI role, my primary advice would be to take a measured approach in believing AI to be a magic bullet that solves everything … I have seen far too many new practitioners apply AI skills to projects where there is no domain expertise involved and it inevitably leads to non-meaningful outcomes that diminish the value of the time and effort that goes into creating a project and can also result in harm for the people who are the subjects of that system.”
On Transforming IT Operations with AI
6. Pankaj Prasad, Principal Research Analyst at Gartner
“Start using AI-enabled I&O (IT infrastructure and operations) management tools and continuously reskill your teams with new AI and data analytics skills. We advise clients to start small, build fast and validate frequently.”
On Making AI Trustworthy
7. Avivah Litan, Distinguished VP Analyst at Gartner
“Business trust is the key to enterprise AI success … Don’t wait until the inevitable breach, compromise or mistake damages or undermines your company’s business, reputation or performance. This will keep AI models performing well, ensure that your data is protected, and support ‘responsible AI’ that weeds out model biases, unethical practices and bad decision making.”
On Business Impact
8. Vivienne Ming, Executive Chair and Co-Founder of Socos Labs
Artificial intelligence and machine learning, as a dominant discipline within AI, is an amazing tool. In and of itself, it’s not good or bad. It’s not a magic solution. It isn’t the core of the problems in the world.”
On Machine Learning
9. Erik Brynjolfsson, Director of the MIT Initiative on the Digital Economy
“Harnessing machine learning can be transformational, but for it to be successful, enterprises need leadership from the top. This means understanding that when machine learning changes one part of the business — the product mix, for example — then other parts must also change. This can include everything from marketing and production to supply chain, and even hiring and incentive systems.”
On Workforce Readiness
10. Dr. Kai-Fu Lee, Chairman and Chief Executive Officer at Sinovation Ventures
“Humans need and want more time to interact with each other. I think AI coming about and replacing routine jobs is pushing us to do what we should be doing anyway: the creation of more humanistic service jobs.”
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We are both big enough to address your technological needs while small enough to be an agile, flexible partner. By co-creating AI solutions, we will digitally transform your company so that it achieves more.
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